For AI labs
Real company data for your models. License real company data your models can't find online.
Datasets from real organizations, with rights reviewed and personal information removed. Each one comes with a data dictionary and a sample under NDA. Biotech datasets are available for evaluation today. Other industries are onboarding now.
Every dataset
- Rights reviewed first
- Personal information removed
- Sample under NDA before you license
What's in a dataset
Biotech example: a program, record by record.
In biotech, each assay connects to the decision it drove, each study to the finding that changed direction, and each regulatory question to its answer. Scientists review every dataset and add the context needed to use it.
Discovery path
Screen
High-throughput assay across a designed compound set.
Hit confirmation
Follow-up wells that held or fell away under tighter conditions.
Decision
Series advanced or stopped based on the confirmation pack.
What comes with every dataset
Built for diligence.
Provenance record
Where the data came from, who held rights to it, and the agreements reviewed before licensing.
Data dictionary
What each field means, with units, methods, and the context scientists added.
Program timeline
How experiments, findings, and decisions connect across the life of the program.
Sample before you commit
Review a representative sample under NDA before signing a license.
Preparation
Cleared and cleaned before you see it.
- Rights reviewed: partner, licensor, and contract agreements checked before licensing. In biotech, that includes CRO and grant agreements.
- Personal information replaced with consistent labels across the dataset.
- In biotech: screened for biosecurity. Work on dangerous pathogens or toxins is excluded.
- In biotech: no patient-level clinical trial data.
Licensing
Defined terms, no surprises.
Every license spells out permitted uses, duration, and exclusivity before you sign. Evaluate under NDA first. Non-exclusive by default, exclusive for some datasets.